Markov and improved particle swarm optimization-based privacy preservation algorithm for user space geographical location-Reference-Cited by-同舟云学术

Markov and improved particle swarm optimization-based privacy preservation algorithm for user space geographical location

Published:2019-11-06 Issue:sup1 Volume:53 Page:31-40
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Chen Guobin¹,Li Shijin²

Affiliation:

1. Chongqing Key Laboratory of Spatial Data Mining and Big Data Integration for Ecology and Environment, Rongzhi College of Chongqing Technology and Business University, Chongqing, China

2. Academic Affairs Office, Yunnan University of Finance and Economics, Yunnan, China

Funder

Science and Technology Research Program of Chongqing Municipal Education Commission

Publisher

Informa UK Limited

Subject

Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/22797254.2019.1685911

Reference9 articles.

1. Exploring the Potential of GeoPass: A Geographic Location-Password Scheme

2. Leaking Sensitive Information in Complex Document Files--and How to Prevent It

3. Partial k-Anonymity for Privacy-Preserving Social Network Data Publishing

4. A Personalized k-Anonymity with Fake Position Generation for Location Privacy Protection

5. Deep neural networks and distant supervision for geographic location mention extraction

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